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linkedin-profile-optimizer Checked
Audit and rewrite a LinkedIn profile end-to-end for 2026: headline, About 7-step, Featured, banne…
8.9Overall rating
Installation
🤖 Install via AI
Copy the prompt below and send it to your AI assistant (e.g. Claude Code) — it will follow the instructions and install automatically.
Install the "linkedin-profile-optimizer" skill by following the instructions at https://skill123.me/install/linkedin-profile-optimizer.
⌨️ Command line install
Run in your terminal — downloads and installs to ~/.claude/skills/.
curl -fsSL https://skill123.me/install/linkedin-profile-optimizer.sh | bash
📦 Download ZIP
Download the zip and extract it into your skills directory (e.g. ~/.claude/skills/), then restart your session.
⬇ Download v1.0.0 · 11 KBAbout this skill
Overview
Audit and rewrite a LinkedIn profile end-to-end for 2026: headline, About 7-step, Featured, banner, photo, Experience metrics, Skills, custom URL, recommendations. Triggers on \"review my profile\", \"rewrite my headline\", \"fix my About\", \"optimize banner\", \"profile audit\", \"LinkedIn bio\". Converts resume-style profiles to ones that convert 3-5x better.
Source
- Repo: https://github.com/sergebulaev/linkedin-skills
- Path: skills/linkedin-profile-optimizer
Score breakdown
Trigger
9.0
Trigger-phrase-rich description covering all profile sections; lacks explicit When-Not boundary.
Structure
9.3
Compact 90-line SKILL.md with five focused per-section references.
Workflow
7.6
Scorecard verification and ranked priority fixes, but no fetch mechanism for a profile URL and no failure-path guidance.
Content
9.0
Concrete pass criteria with pixel and char budgets; mostly crisp.
Engineering
9.0
Correct frontmatter; all referenced files exist; no scripts.
Security
10.0
No scripts, network, credentials, or untrusted content.
Nine-component profile audit and rewrite with a pass/fail scorecard, goal-matched Featured variants, before-after output shape, and quantified benchmarks. Advisory only: no scripts, no network; input intake assumes pasted content or screenshots without a defined fetch path.